Track Lab: extensible data acquisition software for fast pixel detectors, online analysis and automation
October 13, 2023 Β· Declared Dead Β· π Journal of Instrumentation
"No code URL or promise found in abstract"
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Authors
Petr MΓ‘nek, Petr Burian, Eric David-Bosne, Petr Smolyanskiy, Benedikt Bergmann
arXiv ID
2310.08974
Category
physics.ins-det
Cross-listed
cs.DC,
physics.data-an
Citations
9
Venue
Journal of Instrumentation
Last Checked
3 months ago
Abstract
Fast, incremental evolution of physics instrumentation raises the question of efficient software abstraction and transferability of algorithms across similar technologies. This contribution aims to provide an answer by introducing Track Lab, a modern data acquisition program focusing on extensibility and high performance. Shipping with documented API and more than 20 standard modules, Track Lab allows complex analysis pipelines to be constructed from simple, reusable building blocks. Thanks to multi-threaded infrastructure, data can be clustered, filtered, aggregated and plotted concurrently in real-time. In addition, full hardware support for Timepix2, Timepix3 pixel detectors and embedded photomultiplier systems enables such analysis to be carried out online during data acquisition. Repetitive procedures can be automated with support for motorized stages and X-ray tubes. Freely distributed on 7 popular operating systems and 2 CPU architectures, Track Lab is a versatile tool for high energy physics research.
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